CN114996536B - Maintenance scheme query method, device, equipment and computer readable storage medium - Google Patents
Maintenance scheme query method, device, equipment and computer readable storage medium Download PDFInfo
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Abstract
The invention discloses a maintenance scheme query method, a maintenance scheme query device, maintenance scheme query equipment and a computer readable storage medium, wherein the maintenance scheme query method comprises the following steps: acquiring the to-be-maintained abnormality of the to-be-maintained equipment, acquiring a preset abnormality weight corresponding to the to-be-maintained abnormality, and generating an abnormality weight vector according to the abnormality weight; respectively calculating the similarity between the abnormal weight vector and the scheme weight vector corresponding to each preset maintenance scheme; and selecting a maintenance scheme corresponding to the similarity within the preset similarity range from the preset maintenance schemes as a target maintenance scheme so as to maintain the equipment to be maintained based on the target maintenance scheme. The invention realizes the purpose of providing a referable maintenance scheme so as to improve the maintenance efficiency.
Description
Technical Field
The present invention relates to the field of equipment maintenance technologies, and in particular, to a maintenance scheme query method, apparatus, device, and computer-readable storage medium.
Background
In production life, when equipment is abnormal, maintenance personnel are required to check the equipment and then determine a maintenance method, and equipment maintenance work is carried out according to the maintenance method. In the actual maintenance process, when a maintenance person encounters the abnormality of the device which is not maintained, a referable maintenance scheme corresponding to the abnormality of the device is lacked, and at the moment, the maintenance person is usually required to be replaced or the maintenance person is required to determine the maintenance scheme after discussion and study, so that the time consumption for maintaining the device is long and the efficiency is low.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a maintenance scheme query method, a maintenance scheme query device, maintenance scheme query equipment and a computer readable storage medium, and aims to solve the technical problem that the efficiency of equipment maintenance is low due to the lack of a reference maintenance scheme.
In order to achieve the above object, the present invention provides a maintenance scheme query method, wherein the maintenance scheme query method comprises the following steps:
acquiring to-be-maintained abnormity of equipment to be maintained, acquiring a preset abnormity weight corresponding to the to-be-maintained abnormity, and generating an abnormity weight vector according to the abnormity weight, wherein the abnormity weight is used for representing the influence degree of the to-be-maintained abnormity on the equipment to be maintained;
respectively calculating the similarity between the abnormal weight vector and a scheme weight vector corresponding to each preset maintenance scheme, wherein the preset maintenance scheme comprises a maintenance method corresponding to the preset abnormality of the equipment to be maintained, and the method weight in the scheme weight vector is used for representing the maintenance effectiveness degree of the maintenance method contained in the preset maintenance scheme on the corresponding preset abnormality;
and selecting a maintenance scheme corresponding to the similarity in the preset similarity range from the preset maintenance schemes as a target maintenance scheme, so as to maintain the equipment to be maintained based on the target maintenance scheme.
Optionally, before the step of calculating the similarity between the abnormal weight vector and the scheme weight vector corresponding to each preset maintenance scheme, the method further includes:
detecting whether a first maintenance scheme containing the maintenance method corresponding to the to-be-maintained abnormity exists in a preset scheme library corresponding to the to-be-maintained equipment;
and when the first maintenance scheme is determined to exist, taking the first maintenance scheme as the preset maintenance scheme.
Optionally, the step of using the first maintenance plan as the preset maintenance plan includes:
detecting whether a second maintenance scheme comprising the maintenance methods respectively corresponding to all the to-be-maintained abnormalities exists in the first maintenance scheme;
when the second maintenance scheme is determined to exist, taking the second maintenance scheme as the preset maintenance scheme;
and when the second maintenance scheme is determined not to exist, taking the first maintenance scheme as the preset maintenance scheme.
Optionally, the step of using the second maintenance plan as the preset maintenance plan includes:
detecting whether a third repair scheme with the number of the contained repair methods equal to the number of the to-be-repaired abnormalities exists in the second repair scheme;
when the third repairing scheme is determined to exist, taking the third repairing scheme as the preset repairing scheme;
and when the third maintenance scheme is determined not to exist, taking the second maintenance scheme as the preset maintenance scheme.
Optionally, after the step of detecting whether a first maintenance scheme including the maintenance method corresponding to the to-be-maintained anomaly exists in a preset scheme library corresponding to the to-be-maintained device, the method further includes:
when the first maintenance scheme is determined not to exist, acquiring the same type of abnormity of the abnormity to be maintained in the preset abnormity;
detecting whether a fourth maintenance scheme containing the maintenance methods corresponding to the same type of abnormality exists in the preset scheme library;
and when the fourth maintenance scheme is determined to exist, taking the fourth maintenance scheme as the preset maintenance scheme.
Optionally, after the step of selecting, from the preset maintenance schemes, a maintenance scheme corresponding to the similarity in the preset similarity range from among the similarities as a target maintenance scheme, and performing maintenance on the device to be maintained based on the target maintenance scheme, the method further includes:
detecting whether the user satisfaction degree of a user to the maintenance method included in the first maintenance scheme is within a preset satisfaction degree range;
when the user satisfaction is determined to be within the preset satisfaction range, increasing the method weight corresponding to the maintenance method to update the scheme weight vector corresponding to the first maintenance scheme;
and when the user satisfaction is determined not to be in the preset satisfaction range, reducing the method weight corresponding to the maintenance method to update the scheme weight vector corresponding to the first maintenance scheme.
Optionally, the step of generating an abnormal weight vector according to the abnormal weight includes:
calculating the quantity difference value obtained by subtracting the quantity of the to-be-maintained abnormity from the quantity of the preset abnormity, and adding blank weight values with the quantity equal to the quantity difference value into the to-be-processed abnormity vector formed by the abnormity weight values to obtain a processed to-be-processed abnormity vector;
and arranging the processed abnormal vectors to be processed according to the scheme weight vector to obtain the abnormal weight vector, wherein the positions of the abnormal weights in the abnormal weight vector are the same as the positions of the corresponding method weights of the maintenance method to be maintained abnormal in the scheme weight vector.
In order to achieve the above object, the present invention further provides a maintenance plan query device, including:
the device comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring the to-be-maintained abnormity of the to-be-maintained equipment, acquiring a preset abnormity weight corresponding to the to-be-maintained abnormity, and generating an abnormity weight vector according to the abnormity weight, wherein the abnormity weight is used for representing the influence degree of the to-be-maintained abnormity on the to-be-maintained equipment;
the calculation module is used for calculating the similarity between the abnormal weight vector and a scheme weight vector corresponding to each preset maintenance scheme, wherein the preset maintenance scheme comprises a maintenance method corresponding to the preset abnormality of the equipment to be maintained, and the method weight in the scheme weight vector is used for representing the maintenance effective degree of the maintenance method contained in the preset maintenance scheme to the corresponding preset abnormality;
and the determining module is used for selecting a maintenance scheme corresponding to the similarity within the preset similarity range from the preset maintenance schemes as a target maintenance scheme so as to maintain the equipment to be maintained based on the target maintenance scheme.
In order to achieve the above object, the present invention further provides a maintenance plan query device, including: a memory, a processor and a maintenance program stored on the memory and executable on the processor, the maintenance program when executed by the processor implementing the steps of the maintenance program query method as described above.
In addition, to achieve the above object, the present invention further provides a computer readable storage medium, which stores a maintenance plan query program, and when the maintenance plan query program is executed by a processor, the maintenance plan query program implements the steps of the maintenance plan query method as described above.
According to the method, the equipment to be maintained is maintained by acquiring the abnormality to be maintained of the equipment to be maintained and acquiring the preset abnormality weight corresponding to the abnormality to be maintained, generating an abnormality weight vector according to the abnormality weight, respectively calculating the similarity between the abnormality weight vector and the scheme weight vector corresponding to each preset maintenance scheme, and selecting the maintenance scheme corresponding to the similarity in the preset similarity range from the preset maintenance schemes as a target maintenance scheme so as to maintain the equipment to be maintained based on the target maintenance scheme. The invention realizes the purpose of providing a referable maintenance scheme so as to improve the maintenance efficiency.
Drawings
FIG. 1 is a schematic flow chart diagram of a maintenance scenario query method according to a first embodiment of the present invention;
FIG. 2 is a schematic diagram of a functional module of an embodiment of a maintenance plan query device according to the present invention;
fig. 3 is a schematic structural diagram of a maintenance scenario query device of a hardware operating environment according to an embodiment of the present invention.
The implementation, functional features and advantages of the present invention will be further described with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
An embodiment of the present invention provides a maintenance scheme query method, and referring to fig. 1, fig. 1 is a schematic flow diagram of a first embodiment of a maintenance scheme query method according to the present invention. It should be noted that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described may be performed in an order different from that shown or described herein. The method for executing the maintenance plan query may be a user terminal, a server, and other devices, which are not limited in this embodiment, and for convenience of description, the following description of the execution subject is omitted. In this embodiment, the maintenance plan query method includes:
step S10, acquiring the to-be-maintained abnormity of the to-be-maintained equipment, acquiring a preset abnormity weight corresponding to the to-be-maintained abnormity, and generating an abnormity weight vector according to the abnormity weight, wherein the abnormity weight is used for representing the influence degree of the to-be-maintained abnormity on the to-be-maintained equipment;
the equipment maintenance refers to the maintenance and repair of the abnormal equipment, and is an important part of the daily production and manufacturing of factories. When the maintenance personnel meet the abnormity that the maintenance is not carried out in the maintenance process, the referenced maintenance scheme is lacked, and at the moment, the maintenance scheme is usually discussed with other maintenance personnel or can be determined after the data is consulted, so that the maintenance equipment is long in use time and low in maintenance efficiency.
In this embodiment, an abnormality of different devices is preset (hereinafter referred to as a preset abnormality for distinction), and the preset abnormality may be an abnormality that has occurred in the corresponding device, or an abnormality that a technician presumes may occur in the device. The preset exceptions corresponding to the same device may be the same or different, and are specifically related to the device type, for example, the mobile phone and the computer are electronic devices, and the preset exceptions of the mobile phone and the computer may include an exception that the screen cannot be used.
A weight representing the degree of influence of the preset exception on the corresponding equipment is preset (the exception weight is used for distinguishing), and the preset exception may include an exception occurring to the equipment needing to be maintained (the equipment to be maintained is used for distinguishing), or may not include the exception to be maintained.
Each preset exception corresponds to an exception weight, and the exception weights corresponding to different preset exceptions may be the same or different.
Specifically, in this embodiment, the to-be-maintained abnormality of the to-be-maintained device is obtained, in a specific implementation manner, the to-be-maintained abnormality may be obtained by obtaining a keyword in the maintenance help-seeking information filled by the user, and may be set according to a specific situation, where the setting is not limited. The abnormality to be maintained can be the performance of the equipment to be maintained when the abnormality occurs, for example, the screen of the mobile phone has a black screen phenomenon, and the screen cannot be used; the specific reason for the abnormality of the device to be maintained may also be, for example, the computer is attacked by a virus program, which is not limited herein and may be specifically set according to actual requirements.
And acquiring an abnormal weight corresponding to the abnormal to be maintained, and generating an abnormal weight vector according to the abnormal weight.
Step S20, respectively calculating the similarity between the abnormal weight vector and a scheme weight vector corresponding to each preset maintenance scheme, wherein the preset maintenance scheme comprises a maintenance method corresponding to the preset abnormality of the equipment to be maintained, and the method weight in the scheme weight vector is used for representing the maintenance effectiveness degree of the maintenance method contained in the preset maintenance scheme on the corresponding preset abnormality;
in this embodiment, a maintenance plan library (hereinafter referred to as a preset plan library for distinction) corresponding to the device to be maintained is preset, and the preset plan library includes different maintenance plans. The preset solution library may have a maintenance solution corresponding to the contained maintenance method and the abnormality to be maintained, or may not have a maintenance solution corresponding to the contained maintenance method and the abnormality to be maintained.
The maintenance scheme may include a plurality of maintenance methods for solving the preset abnormality of the device to be maintained, or may include only one maintenance method for solving the preset abnormality. When the maintenance scheme includes a plurality of maintenance methods, each maintenance method is used for solving different preset abnormalities.
The maintenance scheme may be set according to the maintenance experience of the maintenance personnel. It is understood that the repair methods used to resolve the same predetermined anomaly may be the same or different in different repair scenarios. For example, when the preset abnormality is that the cursor of the computer cannot move, the reason may be that the connection between the mouse and the computer is in a problem, or the cursor cannot move due to the setting of the computer, and at this time, in the actual maintenance process, the maintenance methods adopted by the maintenance personnel for the same abnormality caused by different reasons are different, so that in different maintenance schemes, the maintenance method corresponding to the preset abnormality that the cursor cannot move may be different.
Each maintenance scheme may correspond to different weight vectors (hereinafter, referred to as scheme weight vectors for distinction), and the scheme weight vectors include method weights corresponding to each maintenance method in the maintenance scheme. The method weight represents the maintenance effectiveness degree of the corresponding maintenance method for the corresponding preset abnormality, and specifically, in an embodiment, the method weight of the maintenance method can be determined according to the use frequency of the maintenance method, the more times for solving the corresponding preset abnormality, the larger the method weight of the maintenance method, the less times for solving the corresponding preset abnormality, and the smaller the method weight of the maintenance method; in another embodiment, the method weight may also be determined according to experience of a maintenance worker, and may be specifically set according to an actual requirement, which is not limited herein.
The maintenance scheme that can be used to calculate the similarity with the abnormal weight vector is referred to as a preset maintenance scheme hereinafter for distinction. In a specific embodiment, the preset maintenance plan may be all maintenance plans in a preset plan library; or a maintenance scheme meeting a certain condition in a preset scheme library, which is not limited herein and can be set according to actual requirements.
The similarity between the abnormal weight vector and the scheme weight vector of each preset maintenance scheme is calculated, and the specific calculation may be by using algorithms such as collaborative filtering, neural network or nonlinear programming, which is not described herein again.
The number of method weights in the scheme weight vector may be the same as or different from the number of abnormal weights in the abnormal weight vector. Therefore, in the specific embodiment, when the similarity between the abnormal weight vector and the solution weight vector is calculated, the abnormal weight vector and the solution weight vector may be subjected to processing such as arrangement processing. For example, in an embodiment, when the number of the abnormal weight values in the abnormal weight value vector is different from the number of the method weight values in the scheme weight value vector, a weight value (hereinafter referred to as a blank weight value for distinction) with a value of 0 may be added to the normal weight value vector or the scheme weight value vector, so that the number of the abnormal weight values in the abnormal weight value vector is equal to the number of the method weight values in the scheme weight value vector, which may be specifically set according to actual requirements, and is not limited here.
And S30, selecting a maintenance scheme corresponding to the similarity within the preset similarity range from the preset maintenance schemes as a target maintenance scheme, so as to maintain the equipment to be maintained based on the target maintenance scheme.
After the similarity corresponding to each preset scheme is obtained through calculation, a query result (hereinafter referred to as a target maintenance scheme for distinction) can be determined according to a preset similarity range and/or a preset query requirement number.
Specifically, a preset maintenance scheme corresponding to a similarity satisfying a preset similarity range in each similarity may be used as the target maintenance scheme, for example, the preset similarity range may be 50% to 90%, and at this time, a preset maintenance scheme corresponding to a similarity in the similarity range in each similarity is used as the target maintenance scheme.
Further, in an embodiment, the target maintenance plan may be determined according to a preset similarity range and a preset query requirement number, for example, the preset similarity range may be 50% to 90%, the preset query requirement number may be 10, and at this time, 10 preset maintenance plans in the preset maintenance plans corresponding to the similarity in the similarity range are used as plan query results. The specific setting can be carried out according to actual requirements, and is not limited here.
In this embodiment, a to-be-maintained anomaly of a to-be-maintained device is obtained, a preset anomaly weight corresponding to the to-be-maintained anomaly is obtained, an anomaly weight vector is generated according to the anomaly weight, similarities between the anomaly weight vector and scheme weight vectors corresponding to the preset maintenance schemes are respectively calculated, and a maintenance scheme corresponding to the similarity within a preset similarity range in the similarities is selected from the preset maintenance schemes to serve as a target maintenance scheme, so that the to-be-maintained device is maintained based on the target maintenance scheme.
Further, based on the first embodiment, a second embodiment of the repair plan query method according to the present invention is provided, where in this embodiment, the step of generating the abnormal weight vector according to the abnormal weight in step S10 includes:
step S101, calculating the quantity difference obtained by subtracting the quantity of the to-be-maintained abnormity from the quantity of the preset abnormity, and adding blank weights with the quantity equal to the quantity difference into an to-be-processed abnormity vector formed by the abnormity weights to obtain a processed to-be-processed abnormity vector;
the preset repair plan may include repair methods corresponding to all of the preset abnormalities, or may include repair methods corresponding to some of the preset abnormalities. For convenience of description, when a maintenance method corresponding to a part of the preset abnormalities is included in the preset maintenance plan, the part of the preset abnormalities is referred to as a first abnormality.
Specifically, when the preset maintenance plan includes maintenance methods corresponding to part of the preset anomalies, in an embodiment, the plan weight vector may include a method weight of the maintenance method corresponding to the first anomaly; in another embodiment, the solution weight vector may also include method weights of the repair methods corresponding to all the preset exceptions, and at this time, the value of the method weight corresponding to the non-first exception in the solution weight vector is adjusted to 0.
In this embodiment, the scheme weight vector may include all the method weights of the maintenance methods corresponding to the preset exceptions, where a value of the method weight corresponding to the non-first exception in the scheme weight vector is 0.
Specifically, the number of the preset exceptions is calculated to subtract the number of the exceptions to be maintained to obtain a number difference, and blank weights with the number equal to the number difference are added to a vector composed of exception weights corresponding to the exceptions to be maintained (hereinafter referred to as exception vector to be processed for distinction) to obtain a processed exception vector to be processed, so that the number of elements in the processed exception vector to be processed is equal to that in the scheme weight vector.
Step S102, arranging the processed abnormal weight vector to be processed according to the scheme weight vector to obtain the abnormal weight vector, wherein the position of the abnormal weight in the abnormal weight vector is the same as the position of the method weight of the corresponding maintenance method to be maintained abnormal in the scheme weight vector.
The positions of the method weights in the scheme weight vector may be arranged in a certain order, for example, the method weights may be arranged in the scheme weight vector in an order from a larger abnormal weight to a smaller abnormal weight corresponding to a preset abnormality; or in an unordered state, at this time, the method weights in the pattern weight vector need to be arranged.
And arranging the processed abnormal vectors to be processed according to the scheme weight vector to obtain abnormal weight vectors, so that the positions of the abnormal weight in the abnormal weight vectors are the same as the positions of the method weight of the maintenance method to be maintained abnormal corresponding to the abnormal weight in the scheme weight vector.
It should be noted that, the number of the abnormal weight values in the abnormal weight value vector is equal to the number of the method weight values in the scheme weight value vector by adding the blank weight values, arranging, and the like to the abnormal weight value vector, and the position of the abnormal weight value in the abnormal weight value vector is the same as the position of the corresponding method weight value of the abnormal maintenance method to be maintained in the method weight value vector, so that the similarity obtained by calculation can be more accurate.
Further, in an embodiment, the solution weight vector may include a method weight of the repair method corresponding to the first anomaly. In this embodiment, the number of the preset exceptions minus the number of the maintenance methods included in each preset maintenance scheme is calculated to obtain a number difference value (hereinafter, referred to as a first difference value to illustrate distinction) corresponding to each preset maintenance scheme, where it is understood that the first difference values corresponding to different preset maintenance schemes may be the same or different.
After blank weights with the same quantity as the quantity difference corresponding to the preset maintenance scheme are added to the preset vectors corresponding to the preset maintenance scheme (hereinafter referred to as the preset scheme vectors for distinguishing), the preset scheme vectors added with the blank weights are arranged.
And calculating the quantity difference (hereinafter referred to as a second difference for distinction) obtained by subtracting the quantity of the to-be-maintained anomalies from the quantity of the preset anomalies, and adding blank weights with the quantity equal to that of the second difference into the to-be-processed anomaly vectors corresponding to the to-be-maintained anomalies to obtain processed to-be-processed anomaly vectors.
And arranging the processed abnormal vectors to be processed according to the scheme weight vector to obtain an abnormal weight vector, so that the positions of the abnormal weight in the abnormal weight vector are the same as the positions of the method weight of the maintenance method to be maintained abnormally, which corresponds to the abnormal weight, in the scheme weight vector.
Further, in an embodiment, after obtaining the abnormal weight vector, a collaborative filtering algorithm may be used to calculate a similarity between the abnormal weight vector and each of the solution weight vectors. Specifically, the process of calculating the similarity may be: and calculating a cosine value of a vector included angle between the abnormal weight vector and the scheme weight vector, and taking the cosine value as the similarity of the scheme weight vector.
The larger the cosine value of the included angle between the two vectors is, the smaller the included angle between the two vectors is, the larger the similarity between the two vectors can be determined, and at the moment, the more suitable the preset maintenance scheme corresponding to the scheme weight vector can be determined to be used for solving the abnormal condition to be maintained.
In this embodiment, the similarity range may be determined according to the cosine value, for example, the solution weight vector with the calculated cosine value in the range of 0.8 to 1.0 is determined to be very similar to the abnormal weight vector, the solution weight vector with the calculated cosine value in the range of 0.6 to 0.8 is determined to be similar to the abnormal weight vector, the solution weight vector with the calculated cosine value in the range of 0.4 to 0.6 is determined to be generally similar to the abnormal weight vector, the solution weight vector with the calculated cosine value in the range of 0 to 0.4 is determined to be not very similar to the abnormal weight vector, and the solution weight vector with the calculated cosine value in the range of-1.0 to 0 is determined to be completely dissimilar to the abnormal weight vector. Further, when the preset similarity range is 0.8 to 1.0, a preset maintenance plan having a similarity in the range of 0.8 to 1.0 may be taken as the target maintenance plan.
In this embodiment, the number of the abnormal weight values in the abnormal weight value vector is equal to the number of the method weight values in the scheme weight value vector by adding the blank weight values to the abnormal weight value vector and performing arrangement processing, and the position of the abnormal weight value in the abnormal weight value vector is the same as the position of the corresponding method weight value of the maintenance method to be maintained abnormally in the method weight value vector, so that the calculated similarity can be more accurate, the target maintenance scheme is more matched with the to-be-maintained abnormal of the equipment, and the maintenance efficiency is improved.
Further, based on the first embodiment, a third embodiment of the repair plan query method according to the present invention is provided, where in this embodiment, before step S20, the method further includes:
step S40, detecting whether a first maintenance scheme containing the maintenance method corresponding to the to-be-maintained abnormity exists in a preset scheme library corresponding to the to-be-maintained equipment;
and S50, when the first maintenance scheme is determined to exist, taking the first maintenance scheme as the preset maintenance scheme.
The preset recipe library may or may not include a repair recipe including a repair method corresponding to the abnormality to be repaired (hereinafter, referred to as a first repair recipe for distinction).
In this embodiment, whether a first maintenance scheme exists in the preset scheme library is detected, and when it is determined that the first maintenance scheme exists, the first maintenance scheme is used as the preset maintenance scheme, so that similarity calculation is performed by using a scheme weight vector corresponding to the second maintenance scheme and an abnormal weight vector.
It is to be understood that the first repair scenario may be a repair scenario including repair methods corresponding to all of the to-be-repaired anomalies (hereinafter, referred to as a second repair scenario for illustrative purposes), or may be a repair scenario including repair methods corresponding to a part of the to-be-repaired anomalies.
Further, in an embodiment, when it is determined that the first maintenance plan does not exist, a maintenance plan in which the number of maintenance methods included in the preset plan library is the same as the number of abnormalities to be maintained may be taken as the preset maintenance plan; in another embodiment, a maintenance plan library corresponding to the same type of equipment with the same type as the equipment to be maintained may also be obtained, and a maintenance plan including a maintenance method that can be used to solve the abnormal equipment to be maintained in the maintenance plan library is used as a preset maintenance plan, which may be specifically set according to actual needs, and is not limited herein.
It should be noted that the first maintenance scheme is used as a preset maintenance scheme, and the scheme weight vectors corresponding to the first maintenance scheme are adopted to calculate the similarity, so that the obtained target maintenance scheme can correspond to the abnormal condition to be maintained, the target maintenance scheme is more accurate, and the maintenance efficiency is higher.
Further, in one embodiment, step S50 includes:
step S501, detecting whether a second maintenance scheme comprising the maintenance methods respectively corresponding to all the to-be-maintained abnormalities exists in the first maintenance scheme;
step S502, when the second maintenance scheme is determined to exist, the second maintenance scheme is taken as the preset maintenance scheme;
step S503, when it is determined that the second maintenance plan does not exist, taking the first maintenance plan as the preset maintenance plan.
In this embodiment, it is detected whether or not the second repair recipe exists in the first repair recipe.
Specifically, in an embodiment, when it is determined that the second maintenance scheme exists, the second maintenance scheme is used as a preset maintenance scheme, so that similarity calculation is performed by using a scheme weight vector corresponding to the second maintenance scheme and the abnormal weight vector. In another embodiment, when it is determined that the second maintenance scheme does not exist, the first maintenance scheme is used as a preset maintenance scheme, so that similarity calculation is performed by using a scheme weight vector corresponding to the first maintenance scheme and the abnormal weight vector.
It is understood that the second repair plan may be a repair plan that includes all repair methods in the same number as the number of the abnormalities to be repaired, and each repair method corresponds to one of the abnormalities to be repaired (hereinafter referred to as a third repair plan for distinction); it is also possible to be a repair scenario that includes repair methods corresponding to all the to-be-repaired anomalies and repair methods that are not used to resolve the to-be-repaired anomalies.
It should be noted that the second maintenance scheme is used as the preset maintenance scheme, and the scheme weight vectors corresponding to the second maintenance scheme are used to calculate the similarity, so that the maintenance method included in the obtained target maintenance scheme can correspond to all the to-be-maintained abnormalities, all the to-be-maintained abnormalities correspond to a referable maintenance scheme, and the maintenance efficiency is improved.
Further, in an embodiment, step S502 includes:
step S5021, detecting whether a third maintenance scheme with the number of the maintenance methods equal to the number of the to-be-maintained abnormity exists in the second maintenance scheme;
step S5022, when the third maintenance scheme is determined to exist, the third maintenance scheme is used as the preset maintenance scheme;
and S5023, when the third maintenance scheme does not exist, taking the second maintenance scheme as the preset maintenance scheme.
In this embodiment, whether the third repair solution exists in the second repair solution is detected.
Specifically, in an embodiment, when it is determined that the third repair solution exists, the third repair solution is taken as a preset repair solution, so that similarity calculation is performed by using a solution weight vector corresponding to the third repair solution and the abnormal weight vector. In another embodiment, when it is determined that the third repair solution does not exist, the second repair solution is used as a preset repair solution, so that similarity calculation is performed by using a solution weight vector corresponding to the second repair solution and the abnormal weight vector.
It should be noted that the third maintenance scheme is used as the preset maintenance scheme, and the scheme weight vectors corresponding to the second maintenance scheme are used for calculating the similarity, so that the maintenance methods included in the obtained target maintenance scheme correspond to the to-be-maintained abnormalities one by one, maintenance references can be provided for all to-be-maintained abnormalities in the target maintenance scheme, the obtained target maintenance scheme is more accurate, and the maintenance efficiency is improved.
Further, in an embodiment, after step S40, the method further includes:
step S60, when the first maintenance scheme is determined not to exist, acquiring the same type of abnormity of the abnormity to be maintained in the preset abnormity;
in this embodiment, when it is determined that the first maintenance scheme does not exist, a preset abnormality (hereinafter, referred to as an abnormality of the same type for distinction) similar to the abnormality to be maintained is obtained, for example, when the abnormality to be maintained is that the mobile phone cannot play sound, the abnormality of the same type may be that the volume of the mobile phone does not change after the volume is adjusted.
In a specific embodiment, the same type of abnormality may be determined by comparing the abnormality to be maintained with keywords of each preset abnormality, or the same type of abnormality preset by the user when the user submits the maintenance scheme for query may be obtained, which may be specifically set according to actual requirements, and is not limited herein.
Step S70, detecting whether a fourth maintenance scheme comprising the maintenance methods corresponding to the same type of abnormality exists in the preset scheme library;
it is detected whether or not a maintenance recipe (hereinafter referred to as a fourth maintenance recipe for distinction) including a maintenance method corresponding to an abnormality of the same type exists in the preset recipe library.
And S80, when the fourth maintenance scheme is determined to exist, taking the fourth maintenance scheme as the preset maintenance scheme.
And when the fourth maintenance scheme is determined to exist, taking the fourth maintenance scheme as a preset maintenance scheme, and calculating the similarity by using the scheme weight vector corresponding to the fourth maintenance scheme and the abnormal weight vector.
It should be noted that by acquiring the same type of abnormality of the abnormality to be maintained, and taking the fourth maintenance scheme including the maintenance method corresponding to the same type of abnormality as the preset maintenance scheme, when the first maintenance scheme does not exist, compared with the case where the target maintenance scheme is determined according to each maintenance scheme in the preset scheme library, a more accurate target maintenance scheme can be provided, thereby improving the maintenance efficiency.
Further, in an embodiment, after step S30, the method further includes;
step A10, detecting whether the user satisfaction degree of the user to the maintenance method included in the first maintenance scheme is within a preset satisfaction degree range;
in the embodiment, after the target maintenance scheme is determined, the user satisfaction of the user to the maintenance method included in the preset maintenance scheme can be obtained, and the scheme weight vector of the preset maintenance scheme is adjusted according to the user satisfaction, so that the result of the next maintenance scheme query is more accurate.
Specifically, in the embodiment, the user satisfaction of the user for each maintenance method in the target maintenance scheme is obtained, and whether the user satisfaction of the maintenance method is within a preset satisfaction range is detected.
In a specific embodiment, the user satisfaction may be in a score form or a grade form, and may be specifically set according to an actual requirement, which is not limited herein.
Step A20, when the user satisfaction is determined to be within the preset satisfaction range, increasing the method weight corresponding to the maintenance method to update the scheme weight vector corresponding to the first maintenance scheme;
when the user satisfaction is determined to be within the preset satisfaction range, it can be determined that the maintenance effect obtained when the user considers that the maintenance method corresponding to the target maintenance scheme is maintained to be abnormal to be maintained is good, and at the moment, the method weight corresponding to the maintenance method can be increased to update the scheme weight vector corresponding to the target maintenance scheme.
In an embodiment, adjustment values corresponding to different user satisfaction degrees may be preset, and when it is determined that the user satisfaction degree is within a preset satisfaction degree range, the adjustment values and the method weight values corresponding to the maintenance method are added to obtain an increased method weight value, so that an updated scheme weight value vector may be obtained. The setting may be specifically performed according to actual requirements, and is not limited herein.
Step A30, when it is determined that the user satisfaction is not within the preset satisfaction range, reducing the method weight corresponding to the maintenance method to update the scheme weight vector corresponding to the first maintenance scheme.
When the user satisfaction is determined not to be within the preset satisfaction range, it can be determined that the maintenance effect obtained by the user according to the abnormal condition to be maintained corresponding to the maintenance method in the target maintenance scheme is not ideal, and at the moment, the method weight corresponding to the maintenance method can be reduced so as to update the scheme weight vector corresponding to the target maintenance scheme.
It should be noted that, after the target maintenance scheme is determined, the user satisfaction of the user on the maintenance method included in the target maintenance scheme is obtained, and the scheme weight vector of the target maintenance scheme is adjusted according to the user satisfaction, so that the result of the next maintenance scheme query is more accurate.
In this embodiment, the first maintenance scheme is used as the preset maintenance scheme, and the scheme weight vector corresponding to the first maintenance scheme is used to calculate the similarity, so that the obtained target maintenance scheme can correspond to the abnormal condition to be maintained, the target maintenance scheme is more accurate, and the maintenance efficiency is improved.
The present invention also provides a maintenance plan query device, referring to fig. 2, the maintenance plan query device includes:
the acquiring module 10 is configured to acquire a to-be-maintained anomaly of a to-be-maintained device, acquire a preset anomaly weight corresponding to the to-be-maintained anomaly, and generate an anomaly weight vector according to the anomaly weight, where the anomaly weight is used to represent an influence degree of the to-be-maintained anomaly on the to-be-maintained device;
a calculating module 20, configured to calculate similarities between the abnormal weight vectors and scheme weight vectors corresponding to preset maintenance schemes, respectively, where the preset maintenance schemes include maintenance methods corresponding to preset abnormalities of the device to be maintained, and the method weights in the scheme weight vectors are used to represent maintenance effectiveness degrees of the maintenance methods included in the preset maintenance schemes for the corresponding preset abnormalities;
the determining module 30 is configured to select, from the preset maintenance schemes, a maintenance scheme corresponding to the similarity within the preset similarity range in the similarities as a target maintenance scheme, so as to maintain the device to be maintained based on the target maintenance scheme.
Further, the maintenance scheme inquiry unit further comprises a detection module, wherein the detection module is used for:
detecting whether a first maintenance scheme containing the maintenance method corresponding to the to-be-maintained abnormity exists in a preset scheme library corresponding to the to-be-maintained equipment;
the determination module 30 is further configured to:
when the first maintenance scheme is determined to exist, the first maintenance scheme is used as the preset maintenance scheme.
Further, the detection module is further configured to:
detecting whether a second maintenance scheme comprising the maintenance methods respectively corresponding to all the to-be-maintained abnormalities exists in the first maintenance scheme;
the determination module 30 is further configured to:
when the second maintenance scheme is determined to exist, taking the second maintenance scheme as the preset maintenance scheme;
and when the second maintenance scheme is determined not to exist, taking the first maintenance scheme as the preset maintenance scheme.
Further, the detection module is further configured to:
detecting whether a third repair scheme with the number of the contained repair methods equal to the number of the to-be-repaired abnormalities exists in the second repair scheme;
the determination module 30 is further configured to:
when the third repairing scheme is determined to exist, taking the third repairing scheme as the preset repairing scheme;
and when the third maintenance scheme is determined not to exist, taking the second maintenance scheme as the preset maintenance scheme.
Further, the obtaining module 10 is further configured to:
when the first maintenance scheme is determined not to exist, acquiring the same type of abnormity of the abnormity to be maintained in the preset abnormity;
the detection module is further configured to:
detecting whether a fourth maintenance scheme containing the maintenance methods corresponding to the same type of abnormality exists in the preset scheme library;
the determination module 30 is further configured to:
and when the fourth maintenance scheme is determined to exist, taking the fourth maintenance scheme as the preset maintenance scheme.
Further, the detection module is further configured to:
detecting whether the user satisfaction degree of a user to the maintenance method included in the first maintenance scheme is within a preset satisfaction degree range;
the determination module 30 is further configured to:
when the user satisfaction is determined to be within the preset satisfaction range, increasing the method weight corresponding to the maintenance method to update the scheme weight vector corresponding to the first maintenance scheme;
and when the user satisfaction is determined not to be in the preset satisfaction range, reducing the method weight corresponding to the maintenance method to update the scheme weight vector corresponding to the first maintenance scheme.
Further, the calculation module 20 is further configured to:
calculating the quantity difference value obtained by subtracting the quantity of the to-be-maintained abnormity from the quantity of the preset abnormity, and adding blank weight values with the quantity equal to the quantity difference value into the to-be-processed abnormity vector formed by the abnormity weight values to obtain a processed to-be-processed abnormity vector;
the maintenance scheme inquiry device further comprises a processing module, and the processing module is used for:
and arranging the processed abnormal vectors to be processed according to the scheme weight vector to obtain the abnormal weight vector, wherein the positions of the abnormal weight in the abnormal weight vector are the same as the positions of the corresponding method weight of the maintenance method to be maintained abnormally in the scheme weight vector.
The embodiments of the maintenance scheme query device of the present invention can refer to the embodiments of the maintenance scheme query method of the present invention, and are not described herein again.
Referring to fig. 3, fig. 3 is a schematic structural diagram of a maintenance plan query device of a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 3, the maintenance protocol inquiry apparatus may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory, or may be a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001 described previously.
Those skilled in the art will appreciate that the configuration shown in FIG. 3 does not constitute a limitation of the service plan interrogation apparatus, and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.
As shown in fig. 3, the memory 1005, which is a kind of computer-readable storage medium, may include therein an operating system, a data storage module, a network communication module, a user interface module, and a maintenance plan query program.
In the maintenance protocol inquiry apparatus shown in fig. 3, the network interface 1004 is mainly used for data communication with other apparatuses; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 of the maintenance solution query device of the present invention may be arranged in the maintenance solution query device, and the maintenance solution query device invokes the maintenance solution query program stored in the memory 1005 through the processor 1001 and executes the steps of the maintenance solution query method provided by the embodiment of the present invention.
In addition, an embodiment of the present invention further provides a computer-readable storage medium, where a maintenance plan query program is stored on the computer-readable storage medium, and when executed by a processor, the maintenance plan query program implements the steps of the maintenance plan query method described above.
The embodiments of the computer-readable storage medium of the present invention can refer to the embodiments of the maintenance scheme query method of the present invention, and are not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of other like elements in a process, method, article, or system comprising the element.
The above-mentioned serial numbers of the embodiments of the present invention are only for description, and do not represent the advantages and disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention or portions thereof contributing to the prior art may be embodied in the form of a software product, which is stored in a computer-readable storage medium (such as ROM/RAM, magnetic disk, optical disk) as described above and includes several instructions for enabling a terminal device (which may be a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (9)
1. A maintenance scheme query method is characterized by comprising the following steps:
acquiring to-be-maintained abnormity of equipment to be maintained, acquiring a preset abnormity weight corresponding to the to-be-maintained abnormity, calculating the quantity of the preset abnormity minus the quantity of the to-be-maintained abnormity to obtain a quantity difference value, adding blank weights with the quantity equal to the quantity difference value into an to-be-processed abnormity vector consisting of the abnormity weight to obtain a processed to-be-processed abnormity vector, and arranging the processed to-be-processed abnormity vector according to a scheme weight vector to obtain the abnormity weight vector, wherein the abnormity weight is used for representing the influence degree of the to-be-maintained abnormity on the equipment to be maintained, and the position of the abnormity weight in the abnormity weight vector is the same as the position of a corresponding method weight of a maintenance method of the to-be-maintained abnormity in the scheme weight vector corresponding to the preset maintenance scheme;
respectively calculating the similarity between the abnormal weight vector and the scheme weight vector corresponding to each preset maintenance scheme, wherein the preset maintenance scheme comprises the maintenance method corresponding to the preset abnormality of the equipment to be maintained, and the method weight is used for representing the effective maintenance degree of the maintenance method contained in the preset maintenance scheme to the corresponding preset abnormality;
and selecting a maintenance scheme corresponding to the similarity in the preset similarity range from the preset maintenance schemes as a target maintenance scheme, so as to maintain the equipment to be maintained based on the target maintenance scheme.
2. The method according to claim 1, wherein before the step of calculating the similarity between the abnormal weight vector and the weight vector of the solution corresponding to each preset maintenance solution, the method further comprises:
detecting whether a first maintenance scheme containing the maintenance method corresponding to the to-be-maintained abnormity exists in a preset scheme library corresponding to the to-be-maintained equipment;
and when the first maintenance scheme is determined to exist, taking the first maintenance scheme as the preset maintenance scheme.
3. The repair scenario inquiry method of claim 2, wherein the step of regarding the first repair scenario as the preset repair scenario comprises:
detecting whether a second maintenance scheme comprising the maintenance methods respectively corresponding to all the to-be-maintained abnormalities exists in the first maintenance scheme;
when the second maintenance scheme is determined to exist, taking the second maintenance scheme as the preset maintenance scheme;
and when the second maintenance scheme is determined not to exist, taking the first maintenance scheme as the preset maintenance scheme.
4. The repair scenario inquiry method of claim 3, wherein the step of regarding the second repair scenario as the preset repair scenario comprises:
detecting whether a third repair scheme with the number of the contained repair methods equal to the number of the to-be-repaired exceptions exists in the second repair scheme;
when the third maintenance scheme is determined to exist, taking the third maintenance scheme as the preset maintenance scheme;
and when the third maintenance scheme is determined not to exist, taking the second maintenance scheme as the preset maintenance scheme.
5. The method for inquiring a repair plan as claimed in claim 2, wherein after the step of detecting whether the first repair plan including the repair method corresponding to the to-be-repaired anomaly exists in the preset plan library corresponding to the to-be-repaired device, the method further comprises:
when the first maintenance scheme is determined not to exist, acquiring the same type of abnormity of the abnormity to be maintained in the preset abnormity;
detecting whether a fourth maintenance scheme comprising the maintenance methods corresponding to the same type of abnormality exists in the preset scheme library or not;
and when the fourth maintenance scheme is determined to exist, taking the fourth maintenance scheme as the preset maintenance scheme.
6. The method as claimed in claim 1, wherein the step of selecting a maintenance plan corresponding to a similarity in a preset similarity range from among the similarities from among the preset maintenance plans as a target maintenance plan for maintaining the device to be maintained based on the target maintenance plan further comprises:
detecting whether the user satisfaction degree of the user to the maintenance method included in the target maintenance scheme is within a preset satisfaction degree range;
when the user satisfaction is determined to be within the preset satisfaction range, increasing a method weight corresponding to a maintenance method included in the target maintenance scheme to update the scheme weight vector corresponding to the target maintenance scheme;
and when the user satisfaction is determined not to be in the preset satisfaction range, reducing the method weight corresponding to the maintenance method contained in the target maintenance scheme so as to update the scheme weight vector corresponding to the target maintenance scheme.
7. A maintenance plan query device, comprising:
an obtaining module, configured to obtain a to-be-maintained anomaly of a to-be-maintained device, obtain a preset anomaly weight corresponding to the to-be-maintained anomaly, calculate a quantity difference value obtained by subtracting the quantity of the to-be-maintained anomaly from a quantity of the preset anomaly, add a blank weight having a quantity equal to the quantity difference value to a to-be-processed anomaly vector composed of the anomaly weights, obtain a processed to-be-processed anomaly vector, and arrange the processed to-be-processed anomaly vector according to a scheme weight vector to obtain the anomaly weight vector, where the anomaly weight is used to represent an influence degree of the to-be-maintained anomaly on the to-be-maintained device, and a position of the anomaly weight in the anomaly weight vector is the same as a position of a corresponding method weight of a maintenance method of the to-be-maintained anomaly in the scheme weight vector corresponding to the preset maintenance scheme;
a calculating module, configured to calculate similarities between the abnormal weight vectors and the scheme weight vectors corresponding to the preset maintenance schemes, respectively, where the preset maintenance schemes include the maintenance methods corresponding to the preset abnormalities of the device to be maintained, and the method weights are used to represent maintenance effectiveness degrees of the maintenance methods included in the preset maintenance schemes for the corresponding preset abnormalities;
and the determining module is used for selecting a maintenance scheme corresponding to the similarity within the preset similarity range from the preset maintenance schemes as a target maintenance scheme so as to maintain the equipment to be maintained based on the target maintenance scheme.
8. A maintenance plan query device, comprising: a memory, a processor, and a maintenance protocol query program stored on the memory and executable on the processor, the maintenance protocol query program configured to implement the steps of the maintenance protocol query method of any of claims 1 to 6.
9. A computer-readable storage medium, characterized in that a maintenance program is stored on the computer-readable storage medium, which when executed by a processor implements the steps of the maintenance program querying method according to any one of claims 1 to 6.
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